Description
KLA is hiring a Software Engineer in Chennai for professionals with strong C++ programming skills and experience working in Linux environments. The role involves developing software for semiconductor inspection and review systems, working across UI, backend services, system integration, performance optimization, and modern AI-assisted development workflows. Candidates with strong fundamentals in data structures, algorithms, software design, and complex problem-solving can find this role particularly relevant.
Job Details
| Job Role | Software Engineer |
|---|---|
| Company | KLA |
| Location | Chennai, India |
| Employment Type | Full-Time |
| Job Requisition ID | 2638210 |
| Required Education | Bachelor’s or Master’s degree |
| Experience | MS: 0–3 years / BS: 2–5 years |
| Primary Skills | C++, Linux, Data Structures, Algorithms, Software Design |
| Preferred Areas | HPC, Distributed Systems, React, Backend, Docker, Semiconductor Systems |
| Additional Focus | AI-assisted and agentic development tools |
Software Engineer Job in Chennai at KLA Careers – C++, Linux and Semiconductor Software Development
KLA is offering a Software Engineer opportunity in Chennai for candidates with a strong background in software development, particularly in C++ and Linux environments. The role is part of an engineering team developing software and hardware solutions that support semiconductor wafer inspection and defect classification.
This position is not limited to traditional application development. The selected engineer may work across different layers of the technology stack, including user interfaces, backend services, system integration, high-performance computing environments, and system-level performance optimization.
The role is suitable for software professionals who can learn quickly, take ownership of unfamiliar problems, communicate effectively, and work with complex engineering systems.
About the Role
The Software Engineer will contribute to software used in inspection and review systems within the semiconductor manufacturing ecosystem.
Semiconductor manufacturing involves highly complex processes where wafers and integrated circuits must be inspected for defects. KLA develops technology that helps semiconductor manufacturers detect and analyze these defects with high accuracy and efficiency.
In this role, the engineer will work with software and hardware teams to translate technical requirements into scalable and production-ready solutions. The position requires strong programming fundamentals and the ability to work on compute-intensive systems.
Candidates should also be comfortable learning new technologies and domains. KLA specifically highlights the importance of learning agility, problem ownership, communication, and the use of modern AI and agentic coding tools to improve development speed and software quality.
Key Responsibilities
Design and Develop Software Components
The Software Engineer will design, develop, and maintain software components for inspection and review systems.
This may involve understanding technical requirements, writing efficient code, testing software components, debugging issues, and maintaining existing applications.
Work Across the Technology Stack
The role provides exposure to multiple areas of software engineering, including:
- User interface development
- Backend services
- System integration
- Software architecture
- Performance optimization
- Compute-intensive applications
The ability to understand how different software components interact is important for this position.
Solve Complex and Ambiguous Problems
KLA is looking for engineers who can take ownership of unfamiliar or ambiguous problems.
In real-world engineering environments, requirements are not always fully defined. Engineers may need to analyze a problem, communicate with stakeholders, understand the system, identify possible solutions, and make technical decisions.
Strong analytical thinking and learning ability are therefore important.
Collaborate With Hardware and Engineering Teams
The selected candidate will work closely with hardware, algorithms, systems, and end-user teams.
This requires the ability to communicate technical information clearly and understand requirements from different perspectives.
Optimize Performance
The software may operate in compute-intensive environments where performance and efficiency are important.
Engineers may need to identify bottlenecks, optimize code, improve resource utilization, and ensure that systems can operate efficiently at scale.
Use AI-Assisted Development Tools
The role also mentions the use of AI and agentic coding tools.
These tools can assist developers with tasks such as:
- Code generation
- Code review
- Debugging
- Documentation
- Test generation
- Code understanding
- Development automation
However, engineers must still understand the code and validate the quality and correctness of the generated output.
Maintain Code Quality and Engineering Practices
The Software Engineer will contribute to:
- Code reviews
- Software testing
- CI/CD practices
- Shared engineering standards
- Maintainable software design
These practices are important for developing reliable software in large engineering environments.
Required Skills and Why They Are Important
1. C++
C++ is one of the most important skills required for this role.
The position involves developing software for complex systems where performance and efficiency can be critical. C++ provides developers with significant control over system resources and is widely used in performance-sensitive applications.
A candidate should have a strong understanding of:
- Object-oriented programming
- Classes and objects
- Memory management
- Pointers and references
- STL
- Templates
- Exception handling
- Multithreading fundamentals
- Modern C++ concepts
Strong C++ skills can help engineers develop efficient and scalable software.
2. Linux
Experience working in Linux environments is another important requirement.
Linux is widely used in engineering, server, high-performance computing, cloud, and enterprise technology environments.
Candidates should understand:
- Basic Linux commands
- File systems
- Permissions
- Processes
- Shell usage
- Environment variables
- Software compilation
- Debugging tools
Linux knowledge is especially useful when working with complex software systems and compute environments.
3. Data Structures
Data structures are fundamental to efficient software development.
Important data structures may include:
- Arrays
- Linked lists
- Stacks
- Queues
- Trees
- Graphs
- Hash tables
- Heaps
Choosing the correct data structure can significantly affect application performance and scalability.
For a software engineering role involving complex and compute-intensive workloads, strong data structure knowledge is essential.
4. Algorithms
Algorithms help developers solve problems efficiently.
Candidates should understand concepts such as:
- Searching
- Sorting
- Recursion
- Dynamic programming
- Graph algorithms
- Complexity analysis
- Optimization techniques
A strong algorithmic foundation helps engineers design efficient solutions rather than simply writing code that works.
5. Software Design
Software design involves organizing applications so that they are scalable, maintainable, and easier to understand.
Important concepts include:
- Object-oriented design
- Separation of concerns
- Modularity
- Reusability
- Design patterns
- Maintainability
- Scalability
Good software design becomes especially important when applications are developed and maintained by large engineering teams.
6. Problem-Solving Skills
The role requires candidates who can solve complex and unfamiliar problems.
Problem-solving involves:
- Understanding the problem.
- Collecting relevant information.
- Identifying possible causes.
- Evaluating different approaches.
- Implementing a solution.
- Testing and validating the result.
This skill is valuable because engineers often work on problems that do not have an obvious solution.
7. Learning Agility
KLA specifically emphasizes the ability to learn quickly.
The semiconductor domain combines software, hardware, physics, algorithms, data, and complex manufacturing systems. A software engineer may need to learn technologies or domain concepts that were not covered during formal education.
Candidates who can quickly understand new concepts and apply them effectively can perform well in such environments.
8. Communication Skills
Strong written and verbal communication skills are required.
Software engineering is highly collaborative. Engineers need to communicate during:
- Design discussions
- Code reviews
- Technical meetings
- Requirement analysis
- Cross-team collaboration
- Documentation
The ability to explain a technical issue clearly can be just as important as identifying the issue.
9. High-Performance Computing
Experience with high-performance computing is listed as a preferred qualification.
High-performance computing focuses on processing large and complex workloads efficiently.
This can involve:
- Parallel computing
- Multithreading
- Performance optimization
- Memory optimization
- Efficient processing
- Scalable computing systems
This knowledge can be valuable because the role involves compute-intensive workloads.
10. Distributed Systems
Distributed systems involve multiple computers or services working together.
Understanding distributed systems can help candidates work with applications that require:
- Scalability
- Reliability
- Communication between services
- Fault tolerance
- Load distribution
Although not mandatory, this experience can strengthen a candidate’s profile.
11. Frontend Development
Experience with frontend technologies such as React is listed as a preferred qualification.
Frontend knowledge can help engineers contribute to user interfaces and build applications that interact effectively with users.
Important areas include:
- Components
- State management
- API integration
- User interface design
- Web application architecture
12. Backend Services
The role involves working across the stack, including backend services.
Backend development may include:
- API development
- Business logic
- Database interaction
- Service communication
- System integration
Understanding backend architecture can help engineers contribute to scalable applications.
13. Docker and Containerization
Docker is mentioned as a preferred skill.
Containerization allows applications and their dependencies to be packaged consistently.
Docker knowledge can help with:
- Development environments
- Application deployment
- Testing
- Reproducibility
- CI/CD workflows
14. Hardware and Software Integration
Experience with hardware/software co-design or system-level performance tuning is preferred.
This is particularly relevant because KLA develops solutions involving both software and advanced semiconductor inspection systems.
Software engineers may need to understand how their applications interact with hardware components and system resources.
15. AI-Assisted and Agentic Development Tools
Experience with AI-assisted or agentic development tools is another preferred area.
Modern AI development tools can help software engineers improve productivity, but they must be used responsibly.
Engineers should be able to:
- Review AI-generated code
- Identify incorrect suggestions
- Validate security and performance
- Use AI for repetitive development tasks
- Improve development workflows
The ability to combine strong software fundamentals with modern AI development tools is becoming increasingly valuable.
Eligibility and Experience Requirements
Candidates should meet the following requirements:
Educational Qualification
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or
- Master’s degree in Computer Science, Electrical Engineering, or a related field.
Experience
The job description mentions:
- Master’s degree candidates with approximately 0–3 years of relevant experience.
- Bachelor’s degree candidates with approximately 2–5 years of software development experience.
The minimum qualification section specifically mentions a master’s degree with no related work experience or a bachelor’s degree with related work experience.
Therefore, applicants should carefully compare their educational background and professional experience with the official requirements before applying.
Preferred Qualifications
Candidates may have an advantage if they have experience in one or more of the following areas:
- High-performance computing
- Distributed systems
- Semiconductor or inspection systems
- Complex engineering systems
- Hardware/software co-design
- System-level performance tuning
- React or frontend development
- Backend services
- Docker
- AI-assisted coding tools
- Agentic development workflows
These skills are preferred rather than universally mandatory, but relevant project or professional experience can strengthen an application.
About KLA
KLA is a technology company focused on the semiconductor manufacturing ecosystem. The company develops systems and solutions used in areas such as wafer and reticle manufacturing, integrated circuits, packaging, printed circuit boards, and flat panel displays.
KLA’s technology supports semiconductor manufacturers by helping them inspect, measure, and analyze highly complex manufacturing processes. The company has more than four decades of experience in semiconductor process control and invests significantly in research and development.
The company’s engineering teams include professionals from disciplines such as software engineering, hardware engineering, physics, data science, algorithms, and systems engineering. This creates an environment where software engineers may work closely with specialists from multiple technical domains.
According to the job description, KLA invests approximately 15% of its sales in research and development, reflecting its focus on innovation within the semiconductor technology industry.
About the Broadband Plasma Division
This Software Engineer role is associated with KLA’s Global Products Group and the Broadband Plasma Division.
The division develops patterned wafer optical inspection systems used in semiconductor manufacturing. These systems help manufacturers identify defects that can affect production quality and yield.
The engineering software developed for these systems must support high-throughput and high-accuracy operations. This explains why the role places importance on performance optimization, system integration, C++, Linux, and complex problem-solving.
Why This Software Engineer Role Is a Strong Opportunity
This position offers exposure to a specialized engineering domain that combines software development with semiconductor technology.
Candidates can gain experience in:
- C++ software development
- Linux-based systems
- Performance optimization
- System integration
- High-performance computing
- Semiconductor technology
- Hardware and software interaction
- Distributed systems
- CI/CD
- Software testing
- AI-assisted development
For engineers interested in moving beyond standard web or business application development, this role may provide an opportunity to work on complex technical systems.
The semiconductor industry also requires highly specialized engineering skills. Experience in software systems used for semiconductor inspection, manufacturing, and process control can create opportunities to develop expertise in a technically advanced domain.
How Candidates Can Prepare
Candidates planning to apply should focus on strengthening their fundamentals.
Improve C++ Skills
Practice:
- Object-oriented programming
- STL
- Memory management
- Multithreading
- Templates
- Smart pointers
- Modern C++ features
- Debugging
Practice Data Structures and Algorithms
Focus on solving problems involving:
- Arrays
- Strings
- Linked lists
- Trees
- Graphs
- Recursion
- Dynamic programming
- Sorting and searching
- Time and space complexity
Gain Linux Experience
Practice working with:
- Terminal commands
- File permissions
- Processes
- Shell commands
- Build tools
- Debugging utilities
Build Relevant Projects
Candidates can strengthen their profile by developing projects involving:
- C++ applications
- Multithreaded systems
- Linux applications
- REST APIs
- React frontends
- Docker containers
- Distributed applications
Learn Performance Optimization
Understand how to identify bottlenecks and improve:
- CPU utilization
- Memory usage
- Execution time
- Algorithm efficiency
- System throughput
Explore AI-Assisted Development
Developers can also gain familiarity with modern AI coding workflows while continuing to strengthen their programming fundamentals.
AI tools should support engineering work rather than replace fundamental understanding. Candidates should be able to review, test, debug, and explain the code they produce.
Final Thoughts
The Software Engineer position at KLA in Chennai is a strong opportunity for software professionals with solid C++ programming skills, Linux experience, and a strong foundation in data structures, algorithms, and software design.
The role stands out because it combines software engineering with semiconductor inspection systems, high-performance computing, system integration, and modern AI-assisted development practices.
Candidates with a master’s degree and early-career experience, or bachelor’s degree candidates with the required professional software development experience, should carefully review the eligibility criteria and prepare their applications accordingly.
A strong resume for this position should highlight C++, Linux, software projects, algorithms, system design, performance optimization, Docker, frontend or backend experience, and any exposure to AI-assisted development tools.
Apply link: Please click here to apply